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Senior Data Analyst, Product Analytics

Autodesk
Toronto, CAN
Full Time
Senior
Hybrid
1 weeks ago
SQLPower BIData AnalysisProduct AnalyticsA/B TestingPython
Free

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Position Overview

  • Data is central to how we understand customer behavior, measure product success, and build better experiences for our customers.
  • Autodesk is seeking a Senior Data Analyst Product Analytics to join the Product Development & Manufacturing Solutions organization.
  • You will partner closely with Product Managers, Engineering, Design, Finance, Sales, and Marketing to transform product data into actionable insights.
  • We value a hybrid work culture; remote work is supported in Toronto and Vancouver, Canada.

Responsibilities

  • Partner with Product Managers and Engineering teams throughout the product lifecycle to define success metrics and measurement strategies before features launch.
  • Analyze product telemetry, clickstream, and user behavior data to identify opportunities that improve customer engagement, adoption, and retention.
  • Design, maintain, and evolve scalable product KPIs and data models that provide consistent measurement across products.
  • Build self service dashboards, reports, and visualizations that enable teams to independently explore product performance while maintaining trusted business definitions.
  • Conduct deep dive analyses to understand product usage, customer journeys, and feature performance, translating findings into actionable recommendations.
  • Develop hypotheses, evaluate product changes, and support experimentation and A/B testing where applicable.
  • Partner with Data Engineering to improve event instrumentation, data quality, and analytics infrastructure.
  • Communicate analytical findings to executive and cross functional audiences through clear storytelling and data visualization.
  • Improve analytics documentation, metric definitions, and best practices to promote consistency and scalability across teams.

Minimum Qualifications

  • 5+ years of experience in Product Analytics, Data Analytics, or Business Analytics, including experience influencing product or business decisions through data.
  • Demonstrated experience presenting analytical findings and recommendations to senior leadership and executive audiences.
  • Expertise in SQL and working with modern cloud data warehouse environments.
  • Advanced experience building dashboards and visualizations using Power BI (required); experience with Tableau or Looker is a plus.
  • Experience analyzing event based product telemetry, clickstream, or user behavior datasets.
  • Strong understanding of analytical methods, hypothesis driven problem solving, and translating ambiguous business questions into measurable analyses.
  • Experience working with modern analytics engineering and data pipeline technologies (DBT, Airflow, GitHub, or similar).
  • Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Economics, Engineering, or equivalent practical experience).

Preferred Qualifications

  • Experience with experimentation frameworks, A/B testing, or product measurement methodologies.
  • Experience using Python (pandas, Jupyter, NumPy, or similar) for exploratory analysis and automation.
  • Familiarity with product analytics platforms such as Amplitude, Mixpanel, Pendo, or similar tools.
  • Experience integrating product analytics with Sales and Marketing data sources (Salesforce, Marketo, etc.).
  • Experience working within SaaS or cloud software organizations.

Salary Transparency

  • For Canada based roles, we expect a starting base salary between CAD 107,000 and CAD 156,200.
  • Offers are based on the candidate's experience and geographic location, and may exceed this range.
  • Compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

About Autodesk

  • Autodesk helps innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
  • We take great pride in our culture here at Autodesk – it’s at the core of everything we do.

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